Hybrid AI Product Manager - Strategy, ML & Delivery

Harvard Business School; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Tuition assistance and professional发展

Commuter benefits

Generous paid time off

Job summary

Harvard Business School, located in Boston, seeks an AI Technical Product Manager to bridge AI capabilities with real-world product applications. You will work with data scientists, ML engineers, and software teams to deliver AI-powered solutions that provide measurable value.

Responsibilities include defining KPIs, owning the backlog, and coordinating with design and data engineering to ensure scalable, responsible AI deployments while balancing performance, latency, and cost.

Qualifications

• Minimum of five years’ post-secondary education or relevant work experience.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 5+ years of product management experience with 2+ years specifically on AI/ML products.
• Experience with AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Experience with large language models, prompt engineering, or RAG systems.

Responsibilities

• Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
• Establish success metrics and KPIs for AI product initiatives
• Own the product backlog, writing detailed user stories and acceptance criteria for AI features
• Oversee A/B testing and experimentation frameworks to validate AI-driven improvements
• Monitor model performance in production and coordinate retraining or optimization efforts
• Balance innovation with practical implementation and assess technical feasibility

Skills

AI/ML products

Agile methods

Stakeholder management

Technical depth

Data-driven decisions

Communication

Prompt engineering

LLMs

MLOps

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

MLOps

Job description

Harvard Business School, located in Boston, seeks an AI Technical Product Manager to bridge AI capabilities with real-world product applications. You will work with data scientists, ML engineers, and software teams to deliver AI-powered solutions that provide measurable value.

Responsibilities include defining KPIs, owning the backlog, and coordinating with design and data engineering to ensure scalable, responsible AI deployments while balancing performance, latency, and cost.